Become a Full-Stack Web Developer & build cool websites using:
๐ HTML
๐ป CSS
๐ JavaScript
๐จ Tailwind
๐ ฑ๏ธ Bootstrap
๐ก jQuery
โ๏ธ React
๐ Node.js
โก ExpressJS
๐ Python
๐ Django
๐ MongoDB
๐ Git
๐ง Linux.
And get a dream job at big tech companies like Accenture, TCS & Wipro with the best packages in millions. ๐ผ
Perfect for beginners! ๐ปโจ
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๐ HTML
๐ป CSS
๐ JavaScript
๐จ Tailwind
๐ ฑ๏ธ Bootstrap
๐ก jQuery
โ๏ธ React
๐ Node.js
โก ExpressJS
๐ Python
๐ Django
๐ MongoDB
๐ Git
๐ง Linux.
And get a dream job at big tech companies like Accenture, TCS & Wipro with the best packages in millions. ๐ผ
Perfect for beginners! ๐ปโจ
Register now! ๐๐
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Don't miss out! ๐๐ป
๐14
Coders Learning
Become a Full-Stack Web Developer & build cool websites using: ๐ HTML ๐ป CSS ๐ JavaScript ๐จ Tailwind ๐
ฑ๏ธ Bootstrap ๐ก jQuery โ๏ธ React ๐ Node.js โก ExpressJS ๐ Python ๐ Django ๐ MongoDB ๐ Git ๐ง Linux. And get a dream job at big tech companies like Accenture,โฆ
Hey Future Developers! ๐ Have you registered for the Full-Stack Web Developer journey yet? ๐ค
Anonymous Poll
51%
Yeah, I'm all in! ๐๐ป
49%
Yes, I'm going to Register ๐ปโก
๐2
Don't miss out on the chance to build cool websites and land your dream job at tech giants like Accenture, TCS & Wipro! ๐ผโจ
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Register now and avoid any regrets! ๐๐
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Don't miss the opportunity! ๐๐ป
โค1
๐ด How to MASTER a programming language using ChatGPT: ๐
1. Can you provide some tips and best practices for writing clean and efficient code in [lang]?
2. What are some commonly asked interview questions about [lang]?
3. What are the advanced topics to learn in [lang]? Explain them to me with code examples.
4. Give me some practice questions along with solutions for [concept] in [lang].
5. What are some common mistakes that people make in [lang]?
6. Can you provide some tips and best practices for writing clean and efficient code in [lang]?
7. How can I optimize the performance of my code in [lang]?
8. What are some coding exercises or mini-projects I can do regularly to reinforce my understanding and application of [lang] concepts?
9. Are there any specific tools or frameworks that are commonly used in [lang]? How can I learn and utilize them effectively?
10. What are the debugging techniques and tools available in [lang] to help troubleshoot and fix code issues?
11. Are there any coding conventions or style guidelines that I should follow when writing code in [lang]?
12. How can I effectively collaborate with other developers in [lang] on a project?
13. What are some common data structures and algorithms that I should be familiar with in [lang]?
Join @coderslearning for moreโผ๏ธ
1. Can you provide some tips and best practices for writing clean and efficient code in [lang]?
2. What are some commonly asked interview questions about [lang]?
3. What are the advanced topics to learn in [lang]? Explain them to me with code examples.
4. Give me some practice questions along with solutions for [concept] in [lang].
5. What are some common mistakes that people make in [lang]?
6. Can you provide some tips and best practices for writing clean and efficient code in [lang]?
7. How can I optimize the performance of my code in [lang]?
8. What are some coding exercises or mini-projects I can do regularly to reinforce my understanding and application of [lang] concepts?
9. Are there any specific tools or frameworks that are commonly used in [lang]? How can I learn and utilize them effectively?
10. What are the debugging techniques and tools available in [lang] to help troubleshoot and fix code issues?
11. Are there any coding conventions or style guidelines that I should follow when writing code in [lang]?
12. How can I effectively collaborate with other developers in [lang] on a project?
13. What are some common data structures and algorithms that I should be familiar with in [lang]?
Join @coderslearning for moreโผ๏ธ
๐13
Web Development Mastery: From Basics to Advanced ๐
Start with the fundamentals:
- HTML
- CSS
- JavaScript
- Responsive Design
- Basic DOM Manipulation
- Git and Version Control
You can grasp these essentials in just a week.
Once you're comfortable, dive into intermediate topics:
- AJAX
- APIs
- Frameworks like React, Angular, or Vue
- Front-end Build Tools (Webpack, Babel)
- Back-end basics with Node.js, Express, or Django
Take another week to solidify these skills.
Ready for the advanced level? Explore:
- Authentication and Authorization
- RESTful APIs
- GraphQL
- WebSockets
- Docker and Containerization
- Testing (Unit, Integration, E2E)
These advanced concepts can be mastered in a couple of weeks.
Remember, mastery comes with practice:
- Create a simple web project
- Tackle an intermediate-level project
- Challenge yourself with an advanced project involving complex features
Consistent practice is the key to becoming a web development pro.
Best platforms to learn:
- Web Development Free Courses
- Web Development Course with Job
- Projects
Share your progress and learnings with others in the community. Enjoy the journey! ๐ฉโ๐ป๐จโ๐ป
Join @coderslearning for more free resources.
Like this post if it helps ๐โค๏ธ
ENJOY LEARNING ๐๐
Start with the fundamentals:
- HTML
- CSS
- JavaScript
- Responsive Design
- Basic DOM Manipulation
- Git and Version Control
You can grasp these essentials in just a week.
Once you're comfortable, dive into intermediate topics:
- AJAX
- APIs
- Frameworks like React, Angular, or Vue
- Front-end Build Tools (Webpack, Babel)
- Back-end basics with Node.js, Express, or Django
Take another week to solidify these skills.
Ready for the advanced level? Explore:
- Authentication and Authorization
- RESTful APIs
- GraphQL
- WebSockets
- Docker and Containerization
- Testing (Unit, Integration, E2E)
These advanced concepts can be mastered in a couple of weeks.
Remember, mastery comes with practice:
- Create a simple web project
- Tackle an intermediate-level project
- Challenge yourself with an advanced project involving complex features
Consistent practice is the key to becoming a web development pro.
Best platforms to learn:
- Web Development Free Courses
- Web Development Course with Job
- Projects
Share your progress and learnings with others in the community. Enjoy the journey! ๐ฉโ๐ป๐จโ๐ป
Join @coderslearning for more free resources.
Like this post if it helps ๐โค๏ธ
ENJOY LEARNING ๐๐
โค10
Be My Valentine Project.zip
345.7 KB
The "Be My Valentine" project is here, and the output has been uploaded to Instagram. Feel the love! โค๏ธ๐
โค9
Hey dear friends, are you interested in Data Science and Machine Learning Engineering? Let us know ๐ค
Also seize the opportunity to land a job in your dream company with fantastic packages in the millions! ๐ป๐ฐ๐
Also seize the opportunity to land a job in your dream company with fantastic packages in the millions! ๐ป๐ฐ๐
Anonymous Poll
65%
Absolutely! ๐คฉ๐
35%
Yes, but where do I begin? ๐คโผ๏ธ
๐1
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- ๐ป Jupyter
Build skills to land dream roles at tech giants like:
- ๐ผ Google
- ๐ผ Microsoft
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- ๐ Matplotlib
- ๐ง Keras
- ๐ป Jupyter
Build skills to land dream roles at tech giants like:
- ๐ผ Google
- ๐ผ Microsoft
- ๐ผ Amazon
- ๐ผ IBM
- ๐ผ Accenture
- ๐ผ Capgemini
- ๐ผ Adobe
- ๐ผ Intel
and more
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๐9
Essential Programming Languages to Learn Data Science, Machine Learning & AI๐๐
1. Python: Python is one of the most popular programming languages for data science due to its simplicity, versatility, and extensive library support (such as NumPy, Pandas, and Scikit-learn).
2. R: R is another popular language for data science, particularly in academia and research settings. It has powerful statistical analysis capabilities and a wide range of packages for data manipulation and visualization.
3. SQL: SQL (Structured Query Language) is essential for working with databases, which are a critical component of data science projects. Knowledge of SQL is necessary for querying and manipulating data stored in relational databases.
4. Java: Java is a versatile language that is widely used in enterprise applications and big data processing frameworks like Apache Hadoop and Apache Spark. Knowledge of Java can be beneficial for working with large-scale data processing systems.
5. Scala: Scala is a functional programming language that is often used in conjunction with Apache Spark for distributed data processing. Knowledge of Scala can be valuable for building high-performance data processing applications.
6. Julia: Julia is a high-performance language specifically designed for scientific computing and data analysis. It is gaining popularity in the data science community due to its speed and ease of use for numerical computations.
7. MATLAB: MATLAB is a proprietary programming language commonly used in engineering and scientific research for data analysis, visualization, and modeling. It is particularly useful for signal processing and image analysis tasks.
Free Resources to master Data Science ๐๐
Data Science & Machine Learning with Ready Job
Learn Python Programming and Data Science, ML & AI
Data Science Project Ideas
Join @coderslearning for more free resources.
ENJOY LEARNING๐๐
1. Python: Python is one of the most popular programming languages for data science due to its simplicity, versatility, and extensive library support (such as NumPy, Pandas, and Scikit-learn).
2. R: R is another popular language for data science, particularly in academia and research settings. It has powerful statistical analysis capabilities and a wide range of packages for data manipulation and visualization.
3. SQL: SQL (Structured Query Language) is essential for working with databases, which are a critical component of data science projects. Knowledge of SQL is necessary for querying and manipulating data stored in relational databases.
4. Java: Java is a versatile language that is widely used in enterprise applications and big data processing frameworks like Apache Hadoop and Apache Spark. Knowledge of Java can be beneficial for working with large-scale data processing systems.
5. Scala: Scala is a functional programming language that is often used in conjunction with Apache Spark for distributed data processing. Knowledge of Scala can be valuable for building high-performance data processing applications.
6. Julia: Julia is a high-performance language specifically designed for scientific computing and data analysis. It is gaining popularity in the data science community due to its speed and ease of use for numerical computations.
7. MATLAB: MATLAB is a proprietary programming language commonly used in engineering and scientific research for data analysis, visualization, and modeling. It is particularly useful for signal processing and image analysis tasks.
Free Resources to master Data Science ๐๐
Data Science & Machine Learning with Ready Job
Learn Python Programming and Data Science, ML & AI
Data Science Project Ideas
Join @coderslearning for more free resources.
ENJOY LEARNING๐๐
๐12
๐ Full Stack Development Roadmap๐
1. ๐จ Front End Development:
- Learn HTML/CSS: ๐
- Master JavaScript: ๐ง
- Dive into frameworks (e.g., React, Vue): ๐ ๏ธ
2. ๐งฑ Back End Development:
- Understand a server-side language (e.g., Node.js, Python): ๐ฅ๏ธ
- Explore databases (e.g., MongoDB, SQL): ๐๏ธ
- Learn a back-end framework (e.g., Express, Django): ๐ ๏ธ
3. ๐ Web Servers and Hosting:
- Grasp server basics: ๐
- Explore cloud platforms (e.g., AWS, Heroku): โ๏ธ
4. ๐ Full Stack Integration:
- Connect front end and back end: ๐
- Understand API concepts: ๐
5. ๐ ๏ธ Version Control/Git:
- Learn Git basics: ๐
- Use Git for version control: ๐
6. ๐ Deployment and CI/CD:
- Explore continuous integration/continuous deployment: ๐
- Deploy your projects: ๐
7. ๐ง Tools and Additional Skills:
- Familiarize with developer tools: ๐งฐ
- Learn basics of testing: ๐งช
8. ๐ Advanced Topics:
- Dive into advanced front-end and back-end concepts: ๐
- Explore microservices and serverless architecture: ๐ฐ
Remember, each step is like unlocking a new level in a game! ๐ฎ Keep coding and building cool things! ๐ง
โ Master Full Stack Development From here๐:
https://bit.ly/3w5vVbb
1. ๐จ Front End Development:
- Learn HTML/CSS: ๐
- Master JavaScript: ๐ง
- Dive into frameworks (e.g., React, Vue): ๐ ๏ธ
2. ๐งฑ Back End Development:
- Understand a server-side language (e.g., Node.js, Python): ๐ฅ๏ธ
- Explore databases (e.g., MongoDB, SQL): ๐๏ธ
- Learn a back-end framework (e.g., Express, Django): ๐ ๏ธ
3. ๐ Web Servers and Hosting:
- Grasp server basics: ๐
- Explore cloud platforms (e.g., AWS, Heroku): โ๏ธ
4. ๐ Full Stack Integration:
- Connect front end and back end: ๐
- Understand API concepts: ๐
5. ๐ ๏ธ Version Control/Git:
- Learn Git basics: ๐
- Use Git for version control: ๐
6. ๐ Deployment and CI/CD:
- Explore continuous integration/continuous deployment: ๐
- Deploy your projects: ๐
7. ๐ง Tools and Additional Skills:
- Familiarize with developer tools: ๐งฐ
- Learn basics of testing: ๐งช
8. ๐ Advanced Topics:
- Dive into advanced front-end and back-end concepts: ๐
- Explore microservices and serverless architecture: ๐ฐ
Remember, each step is like unlocking a new level in a game! ๐ฎ Keep coding and building cool things! ๐ง
โ Master Full Stack Development From here๐:
https://bit.ly/3w5vVbb
๐14
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Yes, why not!! ๐คฉ๐ป
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๐7
Famous programming languages and their frameworks ๐ป๐ง ๐
1. Python:
Frameworks:
Django
Flask
Pyramid
Tornado
2. JavaScript:
Frameworks (Front-End):
React
Angular
Vue.js
Ember.js
Frameworks (Back-End):
Node.js (Runtime)
Express.js
Nest.js
Meteor
3. Java:
Frameworks:
Spring Framework
Hibernate
Apache Struts
Play Framework
4. Ruby:
Frameworks:
Ruby on Rails (Rails)
Sinatra
Hanami
5. PHP:
Frameworks:
Laravel
Symfony
CodeIgniter
Yii
Zend Framework
6. C#:
Frameworks:
.NET Framework
ASP.NET
ASP.NET Core
7. Go (Golang):
Frameworks:
Gin
Echo
Revel
8. Rust:
Frameworks:
Rocket
Actix
Warp
9. Swift:
Frameworks (iOS/macOS):
SwiftUI
UIKit
Cocoa Touch
10. Kotlin:
- Frameworks (Android):
- Android Jetpack
- Ktor
11. TypeScript:
- Frameworks (Front-End):
- Angular
- Vue.js (with TypeScript)
- React (with TypeScript)
12. Scala:
- Frameworks:
- Play Framework
- Akka
13. Perl:
- Frameworks:
- Dancer
- Catalyst
14. Lua:
- Frameworks:
- OpenResty (for web development)
15. Dart:
- Frameworks:
- Flutter (for mobile app development)
16. R:
- Frameworks (for data science and statistics):
- Shiny
- ggplot2
17. Julia:
- Frameworks (for scientific computing):
- Pluto.jl
- Genie.jl
18. MATLAB:
- Frameworks (for scientific and engineering applications):
- Simulink
19. COBOL:
- Frameworks:
- COBOL-IT
20. Erlang:
- Frameworks:
- Phoenix (for web applications)
21. Groovy:
- Frameworks:
- Grails (for web applications)
Join @coderslearning for more โ โผ๏ธ
1. Python:
Frameworks:
Django
Flask
Pyramid
Tornado
2. JavaScript:
Frameworks (Front-End):
React
Angular
Vue.js
Ember.js
Frameworks (Back-End):
Node.js (Runtime)
Express.js
Nest.js
Meteor
3. Java:
Frameworks:
Spring Framework
Hibernate
Apache Struts
Play Framework
4. Ruby:
Frameworks:
Ruby on Rails (Rails)
Sinatra
Hanami
5. PHP:
Frameworks:
Laravel
Symfony
CodeIgniter
Yii
Zend Framework
6. C#:
Frameworks:
.NET Framework
ASP.NET
ASP.NET Core
7. Go (Golang):
Frameworks:
Gin
Echo
Revel
8. Rust:
Frameworks:
Rocket
Actix
Warp
9. Swift:
Frameworks (iOS/macOS):
SwiftUI
UIKit
Cocoa Touch
10. Kotlin:
- Frameworks (Android):
- Android Jetpack
- Ktor
11. TypeScript:
- Frameworks (Front-End):
- Angular
- Vue.js (with TypeScript)
- React (with TypeScript)
12. Scala:
- Frameworks:
- Play Framework
- Akka
13. Perl:
- Frameworks:
- Dancer
- Catalyst
14. Lua:
- Frameworks:
- OpenResty (for web development)
15. Dart:
- Frameworks:
- Flutter (for mobile app development)
16. R:
- Frameworks (for data science and statistics):
- Shiny
- ggplot2
17. Julia:
- Frameworks (for scientific computing):
- Pluto.jl
- Genie.jl
18. MATLAB:
- Frameworks (for scientific and engineering applications):
- Simulink
19. COBOL:
- Frameworks:
- COBOL-IT
20. Erlang:
- Frameworks:
- Phoenix (for web applications)
21. Groovy:
- Frameworks:
- Grails (for web applications)
Join @coderslearning for more โ โผ๏ธ
๐29
๐ Ready to shift from Non-IT to IT?
Anonymous Poll
85%
Yes, count me in! โ
15%
Okay, but how? ๐ค
๐1
Top 5 Coding Challenge Platforms for Programmers ๐ฉโ๐ป๐
1. LeetCode
- URL: https://leetcode.com
- Description: Enhance problem-solving skills with a vast collection of coding challenges on LeetCode.
2. HackerRank
- URL: https://www.hackerrank.com
- Description: HackerRank offers diverse coding challenges for algorithm, data structure, and language proficiency improvement.
3. CodeSignal
- URL: https://codesignal.com
- Description: CodeSignal provides coding challenges and assessments to enhance coding skills for interviews and practice.
4. Codewars
- URL: https://www.codewars.com
- Description: Codewars engages developers in creative problem-solving through kata challenges, fostering skill development.
5. Exercism
- URL: https://exercism.io
- Description: Exercism offers coding exercises in various languages, providing mentorship and community support.
Join @coderslearning for more โ
โก๏ธ Give Reactions ๐ค
1. LeetCode
- URL: https://leetcode.com
- Description: Enhance problem-solving skills with a vast collection of coding challenges on LeetCode.
2. HackerRank
- URL: https://www.hackerrank.com
- Description: HackerRank offers diverse coding challenges for algorithm, data structure, and language proficiency improvement.
3. CodeSignal
- URL: https://codesignal.com
- Description: CodeSignal provides coding challenges and assessments to enhance coding skills for interviews and practice.
4. Codewars
- URL: https://www.codewars.com
- Description: Codewars engages developers in creative problem-solving through kata challenges, fostering skill development.
5. Exercism
- URL: https://exercism.io
- Description: Exercism offers coding exercises in various languages, providing mentorship and community support.
Join @coderslearning for more โ
โก๏ธ Give Reactions ๐ค
โคโ๐ฅ8
The Average Tuition fee of Harvard is $52,659 per year!
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React Native is a popular framework by Facebook that enables cross-platform native apps using JavaScript.
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Keep Learning! ๐
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๐https://lnkd.in/dG3sXeyM
2. ๐ช๐ฒ๐ฏ ๐ฃ๐ฟ๐ผ๐ด๐ฟ๐ฎ๐บ๐บ๐ถ๐ป๐ด ๐๐ถ๐๐ต ๐ฃ๐๐๐ต๐ผ๐ป ๐ฎ๐ป๐ฑ ๐๐ฎ๐๐ฎ๐ฆ๐ฐ๐ฟ๐ถ๐ฝ๐
This course dives more deeply into the design and implementation of web apps with Python, JavaScript, and SQL.
๐https://lnkd.in/d-xJNchj
3. ๐ ๐ผ๐ฏ๐ถ๐น๐ฒ ๐๐ฝ๐ฝ ๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐บ๐ฒ๐ป๐ ๐๐ถ๐๐ต ๐ฅ๐ฒ๐ฎ๐ฐ๐ ๐ก๐ฎ๐๐ถ๐๐ฒ
React Native is a popular framework by Facebook that enables cross-platform native apps using JavaScript.
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4. ๐๐ป๐๐ฟ๐ผ๐ฑ๐๐ฐ๐๐ถ๐ผ๐ป ๐๐ผ ๐๐ฎ๐บ๐ฒ ๐๐ฒ๐๐ฒ๐น๐ผ๐ฝ๐บ๐ฒ๐ป๐
Learn to develop 2D and 3D interactive games in this course, as you explore the design of games such as Super Mario Bros., Pokรฉmon, Angry Birds, and more.
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Learn to use machine learning in Python in this introductory course on artificial intelligence.
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๐6
๐ Discover these amazing AI tools to supercharge your productivity! ๐ค
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4. Perplexity: Research-focused LLM
5. ElevenLabs: Text-to-speech and voice-cloning
6. BabyAGI: Open-source AI-powered task manager
7. Jasper: Generate branded copy effortlessly
8. CopyAl: Compose text at lightning speed
9. Claude: AI-assistant for all your tasks
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12. Llama 2: LLM leveraging public datasets
13. Voicemod: Transform your voice in real-time
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Join @coderslearning for more โ
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1. ChatGPT: The OG large language model by OpenAI
2. Midjourney: Text-to-image magic in Discord
3. Runway: Real-time text-to-video creation
4. Perplexity: Research-focused LLM
5. ElevenLabs: Text-to-speech and voice-cloning
6. BabyAGI: Open-source AI-powered task manager
7. Jasper: Generate branded copy effortlessly
8. CopyAl: Compose text at lightning speed
9. Claude: AI-assistant for all your tasks
10. Krisp: Say goodbye to background noise
11. Notion Al: Summarize items with a click
12. Llama 2: LLM leveraging public datasets
13. Voicemod: Transform your voice in real-time
14. Grammarly: Enhance your writing instantly
15. Whisper: OpenAI's automatic speech recognition
16. AgentGPT: Assemble, configure, and deploy AI agents
17. Zapier: Automate your work without code
18. Writesonic: Create SEO-friendly content effortlessly
19. Bard: Your creative and helpful collaborator
20. Framer: Design websites like a pro without code
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๐ค Join hands with NSDC and **IIT Guwahati, in collaboration with Masai, for a transformative program tailored just for you. ๐
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Salary Package:- 4.8 LPA 16 LPA
Job Location:- Across India/ Work From Home
Qualification :- Any Graduate/ Post Graduate
๐๐ฉ๐ฅ๐จ๐๐ ๐๐จ๐ฎ๐ซ ๐๐๐ฌ๐ฎ๐ฆ๐ ๐ :-
https://bit.ly/4cWPhQO
Apply To The Jobs That Matches To Your Profile
Note :- Recruiters don't ask money in exchange of job. Becalls Aware of fake calls!